What are data visualization libraries?
In order to produce visual representations of data, you can use software tools or libraries called data visualization libraries. These libraries offer a selection of methods and functions that can assist you in converting your data into different kinds of graphs, charts, plots, and other visual components. These libraries offer a variety of alternatives for data visualization, allowing you to select the best strategy for visualizing and exploring your data. Data visualization libraries can assist you in effectively communicating the insights and patterns buried in your data, whether you require straightforward bar charts or intricate interactive visualizations. Python libraries used for data visualization include Matplotlib and Seaborn. They contain built-in modules for generating various graphs. While Seaborn is generally used for statistical graphs, Matplotlib is used to integrate graphs into programs.